54 datasets found
  1. Instagram: distribution of global audiences 2024, by age and gender

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    Stacy Jo Dixon, Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

                  Teens and social media
    
                  As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
                  Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
    
  2. u

    Young adults’ reflections on experiences of social media use during...

    • researchdata.up.ac.za
    docx
    Updated Feb 14, 2023
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    Petronella Smuts (2023). Young adults’ reflections on experiences of social media use during adolescence [Dataset]. http://doi.org/10.25403/UPresearchdata.22012742.v1
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    docxAvailable download formats
    Dataset updated
    Feb 14, 2023
    Dataset provided by
    University of Pretoria
    Authors
    Petronella Smuts
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for a qualitative study conducted about young adults' reflections on their experiences of social media use during adolescence stage. To analyse the data,suitable themes and sub-themes were use.

  3. Instagram: distribution of global audiences 2024, by gender

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    Stacy Jo Dixon, Instagram: distribution of global audiences 2024, by gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

                  Instagram’s Global Audience
    
                  As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
                  As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.
    
                  Who is winning over the generations?
    
                  Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.
    
  4. m

    Abbreviated FOMO and social media dataset

    • figshare.mq.edu.au
    • researchdata.edu.au
    txt
    Updated May 30, 2023
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    Danielle Einstein; Carol Dabb; Madeleine Ferrari; Anne McMaugh; Peter McEvoy; Ron Rapee; Eyal Karin; Maree J. Abbott (2023). Abbreviated FOMO and social media dataset [Dataset]. http://doi.org/10.25949/20188298.v1
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    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Macquarie University
    Authors
    Danielle Einstein; Carol Dabb; Madeleine Ferrari; Anne McMaugh; Peter McEvoy; Ron Rapee; Eyal Karin; Maree J. Abbott
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This database is comprised of 951 participants who provided self-report data online in their school classrooms. The data was collected in 2016 and 2017. The dataset is comprised of 509 males (54%) and 442 females (46%). Their ages ranged from 12 to 16 years (M = 13.69, SD = 0.72). Seven participants did not report their age. The majority were born in Australia (N = 849, 89%). The next most common countries of birth were China (N = 24, 2.5%), the UK (N = 23, 2.4%), and the USA (N = 9, 0.9%). Data were drawn from students at five Australian independent secondary schools. The data contains item responses for the Spence Children’s Anxiety Scale (SCAS; Spence, 1998) which is comprised of 44 items. The Social media question asked about frequency of use with the question “How often do you use social media?”. The response options ranged from constantly to once a week or less. Items measuring Fear of Missing Out were included and incorporated the following five questions based on the APS Stress and Wellbeing in Australia Survey (APS, 2015). These were “When I have a good time it is important for me to share the details online; I am afraid that I will miss out on something if I don’t stay connected to my online social networks; I feel worried and uncomfortable when I can’t access my social media accounts; I find it difficult to relax or sleep after spending time on social networking sites; I feel my brain burnout with the constant connectivity of social media. Internal consistency for this measure was α = .81. Self compassion was measured using the 12-item short-form of the Self-Compassion Scale (SCS-SF; Raes et al., 2011). The data set has the option of downloading an excel file (composed of two worksheet tabs) or CSV files 1) Data and 2) Variable labels. References: Australian Psychological Society. (2015). Stress and wellbeing in Australia survey. https://www.headsup.org.au/docs/default-source/default-document-library/stress-and-wellbeing-in-australia-report.pdf?sfvrsn=7f08274d_4 Raes, F., Pommier, E., Neff, K. D., & Van Gucht, D. (2011). Construction and factorial validation of a short form of the self-compassion scale. Clinical Psychology and Psychotherapy, 18(3), 250-255. https://doi.org/10.1002/cpp.702 Spence, S. H. (1998). A measure of anxiety symptoms among children. Behaviour Research and Therapy, 36(5), 545-566. https://doi.org/10.1016/S0005-7967(98)00034-5

  5. f

    Data_Sheet_1_Social Media Use and Mental Health and Well-Being Among...

    • frontiersin.figshare.com
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    Updated May 30, 2023
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    Viktor Schønning; Gunnhild Johnsen Hjetland; Leif Edvard Aarø; Jens Christoffer Skogen (2023). Data_Sheet_1_Social Media Use and Mental Health and Well-Being Among Adolescents – A Scoping Review.docx [Dataset]. http://doi.org/10.3389/fpsyg.2020.01949.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Viktor Schønning; Gunnhild Johnsen Hjetland; Leif Edvard Aarø; Jens Christoffer Skogen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Introduction: Social media has become an integrated part of daily life, with an estimated 3 billion social media users worldwide. Adolescents and young adults are the most active users of social media. Research on social media has grown rapidly, with the potential association of social media use and mental health and well-being becoming a polarized and much-studied subject. The current body of knowledge on this theme is complex and difficult-to-follow. The current paper presents a scoping review of the published literature in the research field of social media use and its association with mental health and well-being among adolescents.Methods and Analysis: First, relevant databases were searched for eligible studies with a vast range of relevant search terms for social media use and mental health and well-being over the past five years. Identified studies were screened thoroughly and included or excluded based on prior established criteria. Data from the included studies were extracted and summarized according to the previously published study protocol.Results: Among the 79 studies that met our inclusion criteria, the vast majority (94%) were quantitative, with a cross-sectional design (57%) being the most common study design. Several studies focused on different aspects of mental health, with depression (29%) being the most studied aspect. Almost half of the included studies focused on use of non-specified social network sites (43%). Of specified social media, Facebook (39%) was the most studied social network site. The most used approach to measuring social media use was frequency and duration (56%). Participants of both genders were included in most studies (92%) but seldom examined as an explanatory variable. 77% of the included studies had social media use as the independent variable.Conclusion: The findings from the current scoping review revealed that about 3/4 of the included studies focused on social media and some aspect of pathology. Focus on the potential association between social media use and positive outcomes seems to be rarer in the current literature. Amongst the included studies, few separated between different forms of (inter)actions on social media, which are likely to be differentially associated with mental health and well-being outcomes.

  6. s

    Social Media Addiction Statistics Amongst Teenagers

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Addiction Statistics Amongst Teenagers [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Teenagers are the 2nd largest group of people affected by social media addiction. Teens ages 13 to 18 years old spend a significant amount of their free time on social media with an average of 3 hours a day.

  7. Average daily time spent on social media worldwide 2012-2025

    • statista.com
    Updated Jun 19, 2025
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    Statista (2025). Average daily time spent on social media worldwide 2012-2025 [Dataset]. https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/
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    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    How much time do people spend on social media? As of 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

  8. Instagram accounts with the most followers worldwide 2024

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    Stacy Jo Dixon, Instagram accounts with the most followers worldwide 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

                  The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.
    
                  How popular is Instagram?
    
                  Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.
    
                  Who uses Instagram?
    
                  Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.
    
                  Celebrity influencers on Instagram
                  Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.
    
  9. s

    What Are The Most Used Social Media Platforms?

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). What Are The Most Used Social Media Platforms? [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Facebook and YouTube are still the most used social media platforms today.

  10. m

    The Impact of Social Media on Mental Health: A Comprehensive Literature...

    • data.mendeley.com
    Updated Dec 16, 2024
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    Melodia Luntayao (2024). The Impact of Social Media on Mental Health: A Comprehensive Literature Review [Dataset]. http://doi.org/10.17632/tzkpd6x3rs.1
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    Dataset updated
    Dec 16, 2024
    Authors
    Melodia Luntayao
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Impact of Social Media on Mental Health: A Comprehensive Literature Review Research Hypothesis

    Our research hypothesis is that excessive social media use is associated with negative mental health outcomes, particularly depression, anxiety, and sleep disturbances. This hypothesis is based on the growing body of literature suggesting a link between social media use and mental health issues, particularly among adolescents and young adults. Data and Findings

    This comprehensive literature review synthesized findings from numerous studies investigating the relationship between social media use and mental health. The data was gathered through a systematic search of major databases, including PubMed, PsycINFO, Scopus, and Web of Science. The search strategy employed a combination of keywords and Boolean operators to identify relevant studies, focusing on research published within the past 10 years.

    The review revealed a complex and multifaceted relationship between social media use and mental health. While some studies suggested a positive association, the majority of research indicated a negative correlation, supporting our initial hypothesis.

    Notable Findings:

    • Increased risk of depression and anxiety: Multiple studies found a positive correlation between excessive social media use and depressive symptoms, including feelings of sadness, hopelessness, and low self-esteem. Similarly, social media use was linked to increased levels of anxiety, potentially due to social comparison, cyberbullying, and fear of missing out (FOMO). • Sleep disturbances: Excessive social media use can disrupt sleep patterns, leading to insomnia, reduced sleep quality, and shortened sleep duration. Sleep deprivation can further exacerbate mental health issues, including depression and anxiety. • Social isolation and loneliness: While social media platforms aim to connect individuals virtually, they can paradoxically contribute to increased feelings of loneliness and social isolation. Excessive social media use can lead to a decrease in face-to-face interactions, resulting in a sense of isolation. • Cyberbullying: Social media platforms can facilitate cyberbullying, which can have severe psychological consequences, including increased anxiety, depression, and suicidal ideation. • Body image concerns: Social media platforms often present idealized and unrealistic portrayals of physical appearance, which can contribute to body image concerns and dissatisfaction.

  11. s

    Social Media Usage By Age

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Age [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Gen Z and Millennials are the biggest social media users of all age groups.

  12. u

    The effect of the use of social media on young adults during adolescence

    • researchdata.up.ac.za
    pdf
    Updated Jul 25, 2023
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    Evadné Fourie (2023). The effect of the use of social media on young adults during adolescence [Dataset]. http://doi.org/10.25403/UPresearchdata.23295344.v1
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    pdfAvailable download formats
    Dataset updated
    Jul 25, 2023
    Dataset provided by
    University of Pretoria
    Authors
    Evadné Fourie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data depicts young adults' reflections on their experiences of social media use during adolescence with the goal of better understanding the effects of social media use on a sample of South African adolescents. The study formed part of a group research project in which several researchers conducted individual studies countrywide on the topic. The goal of the study was to explore and describe young adults’ reflections on their experiences of social media use during adolescence, and the research question for the study was 'what are young adults’ reflections on their experiences of social media use during adolescence?'. The following research methodology was employed, a qualitative research approach; an interpretivist paradigm; the research was regarded as applied research and was guided by an instrumental case study design. The sample was selected by means of snowball and purposive sampling; data was collected by means of a semi-structured interview, with the use of an interview schedule; and thematic analysis was utilised to analyse the data that was obtained. The theoretical framework for this study was Bronfenbrenner’s ecological systems theory. The researcher interviewed 10 participants who fit the specific criteria for inclusion; the sample consisted of young adults living in South Africa, within the geographical area of the City of Tshwane. Participants were between the ages of 19 and 25 and gave an account of their reflections on their social media use between the ages of 11 and 18. Participants were also affected in terms of their biological development (i.e., physical, cognitive, emotional, social, moral as well as their identity development).

  13. g

    Data from: Data of the MyMovez project

    • datasearch.gesis.org
    Updated Feb 25, 2020
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    Buijzen, prof. dr. M.A. (Radboud University) DAI=info:eu-repo/dai/nl/243991681; Bevelander, dr. ir. K.E. (Radboud University) DAI=info:eu-repo/dai/nl/315591048 (2020). Data of the MyMovez project [Dataset]. http://doi.org/10.17026/dans-zz9-gn44
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    Dataset updated
    Feb 25, 2020
    Dataset provided by
    DANS (Data Archiving and Networked Services)
    Authors
    Buijzen, prof. dr. M.A. (Radboud University) DAI=info:eu-repo/dai/nl/243991681; Bevelander, dr. ir. K.E. (Radboud University) DAI=info:eu-repo/dai/nl/315591048
    Area covered
    Netherlands
    Description

    This data set contains all gather information of the MyMovez project, which investigated adolescents’ health behaviors (ie., nutrition, media use, and physical activity) and their social networks for three years. The first year (2016; data collection waves 1, 2, 3) and the second year (2017; wave 4) marked the first phase of the project in which the health behaviors of adolescents were monitored without intervening. The third year (waves 5, 6, 7) marked the second phase of the project in which four different types of interventions were tested to promote either water consumption or physical activity. A fifth group did not receive an intervention and is used as a control condition.

    During the measurement periods, participants received the MyMovez Wearable Lab: a smartphone with a tailor-made research application and a wrist-worn accelerometer. The accelerometer (Fitbit Flex) measured the physical activity per minute and per day, and was water-resistant. The smartphone was equipped with a custom made research application by which daily questionnaires were administered. Beginning in wave 5, the app contained a social platform in which the participants could communicate with each other. The smartphone also connected to the accompanying accelerometer and other research smartphones via Bluetooth.

    Among others, the most important measures in the project are:

    • Questionnaire data: e.g. Food Frequency Questionnaires, Self-reported media exposure, measures related to the theory of planned behavior
    • Physical activity measured by accelerometer.
    • Sociometric nominations: Peers nominated classmates on certain questions
    • Proximity networks inferred from the Bluetooth connections on the research phones (beacon data)
    • Online communication data derived from the social platform (Social Buzz)
    • Photo data (not shared in this repository)
    • BMI measured by the researchers

    For more information please see the accompanying overview, or the protocol paper of the project: https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-018-5353-5

  14. Instagram: most used hashtags 2024

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    Statista Research Department, Instagram: most used hashtags 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    As of January 2024, #love was the most used hashtag on Instagram, being included in over two billion posts on the social media platform. #Instagood and #instagram were used over one billion times as of early 2024.

  15. f

    Table_1_Detecting Suicide and Self-Harm Discussions Among Opioid Substance...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
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    Vidya Purushothaman; Jiawei Li; Tim K. Mackey (2023). Table_1_Detecting Suicide and Self-Harm Discussions Among Opioid Substance Users on Instagram Using Machine Learning.docx [Dataset]. http://doi.org/10.3389/fpsyt.2021.551296.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Vidya Purushothaman; Jiawei Li; Tim K. Mackey
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Background: Suicide and substance use disorder (SUD) pose serious public health challenges among young adults in the United States. Increasing social media use among these populations can be leveraged as an alternative method to detect characteristics of suicide-related topics and behavior among substance users.Objective: To detect and characterize suicide and self-harm related conversations co-occurring with SUD posts and comments on the popular social media platform Instagram.Methods: This study used big data and machine learning approaches to collect and classify Instagram posts containing 632 controlled substance-related hashtags. Posts were first classified for online drug diversion topics and then filtered to detect suicide and mental health discussions. Posts and comments were then manually annotated for SUD and mental health co-occurring themes. Associations between these characteristics were tested using the Chi-square test.Results: We detected 719 Instagram posts/comments that included user-generated discussions about suicide, substance use and/or mental health. Posts self-reporting SUD and mental health topics were also more likely to discuss suicide compared to those that did not discuss SUD and mental health topics, respectively (p < 0.001). Major themes observed included concurrent discussions of suicide ideation and attempts and low self-esteem.Conclusions: Our study results provide preliminary evidence of social media discussions about suicide and mental health among those with SUD. This co-occurrence represents a key health risk factor on a platform heavily utilized by young adults. Further studies are required to analyze specific patterns of suicide and self-harm ideations for the purposes of designing future suicide prevention campaigns through digital channels.

  16. Countries with the most Facebook users 2024

    • statista.com
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    Stacy Jo Dixon, Countries with the most Facebook users 2024 [Dataset]. https://www.statista.com/topics/1164/social-networks/
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    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Stacy Jo Dixon
    Description

    Which county has the most Facebook users?

                  There are more than 378 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 193.8 million, 119.05 million, and 112.55 million Facebook users respectively.
    
                  Facebook – the most used social media
    
                  Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3,5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising.
    
                  Facebook usage by device
                  As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.
    
  17. e

    Engagement of vulnerable youths using Internet platforms - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Nov 11, 2024
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    (2024). Engagement of vulnerable youths using Internet platforms - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/4642bbb2-e062-5858-9c23-4aefb7afefaa
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    Dataset updated
    Nov 11, 2024
    Description

    Survey data of 1010 participants exploring their internet usage preference and their willingness to be engaged by online professionals if they are in need.AbstractAim: Our study aims to understand youths’ online behavior in terms of disclosing their distress and help seeking. Methods: A cross-sectional telephone-based survey was conducted with 1,010 young people in Hong Kong. Logistic regression analysis was conducted to identify the factors associated with youths who express emotional distress online and the differences among four categories of youths—non-distressed youths (reference group) and three categories of distressed youths (not-seek-help group, sought informal help, and sought formal help groups)—in terms of their help seeking behavior. Results: Those who expressed distress online were associated with a higher lifetime prevalence of suicidal ideation. The active informal help group had a risk profile similar to that of the inactive group, including suicide risk, unsafe sex, and being bullied. The active informal help group tended to express distress online, which indicates that they may be more accessible for professionals to identify. More importantly, approximately 20% of the distressed youths did not seek formal or informal help yet expressed their distress online. Implication: The results of this study indicate that there are opportunities for helping professionals to develop strategic engagement methods using social media to help distressed youths. The depositor provided the file '20170711-based on cyp_final_data (Final data)_T0_mainpaper_VAR' in SAV format. DANS added the POR and DTA format of this file to ensure preservation and accessibility.

  18. e

    Epidemiology of Cohort Social Media, 2018-2019 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Oct 21, 2023
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    (2023). Epidemiology of Cohort Social Media, 2018-2019 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c2e00bd4-1857-5318-ab8c-ce6f29169a61
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    Dataset updated
    Oct 21, 2023
    Description

    Interactions on social media have the potential to help us to understand human behaviour, including the development of both good and poor mental health. However, to do the best science we need to know as much as possible about the people who are participating in our research. The CLOSER group of UK longitudinal cohorts include people who have contributed their data to research since birth. By inviting participants in these cohorts to also allow us to derive information from their social media feeds, we will be able to relate this information to gold-standard measures of the behaviours we are trying to understand and to world-class data on other aspects of life. To work out the best way to do this, our project will engage with participants in the Children of the '90s cohort to find out what is acceptable to them in terms of collecting and using their interactions on social media. We will use what we have learnt to develop software that collects and codes social media data in a way that protects the anonymity of participants by scoring Tweets without making the text available to researchers. We will share this software with other CLOSER cohorts to make it easy for them to invite participants to contribute their Twitter data in a safe and secure way. The high-resolution data collected in this way will help us to understand human behaviour and how mental health changes over time. Collecting these data in well known groups of people will also give scientists the information they need to improve the quality of all research using social media.Interactions on social media have the potential to help us to understand human behaviour, including the development of both good and poor mental health. However, to do the best science we need to know as much as possible about the people who are participating in our research. The CLOSER group of UK longitudinal cohorts include people who have contributed their data to research since birth. By inviting participants in these cohorts to also allow us to derive information from their social media feeds, we will be able to relate this information to gold-standard measures of the behaviours we are trying to understand and to world-class data on other aspects of life. To work out the best way to do this, our project will engage with participants in the Children of the '90s cohort to find out what is acceptable to them in terms of collecting and using their interactions on social media. We will use what we have learnt to develop software that collects and codes social media data in a way that protects the anonymity of participants by scoring Tweets without making the text available to researchers. We will share this software with other CLOSER cohorts to make it easy for them to invite participants to contribute their Twitter data in a safe and secure way. The high-resolution data collected in this way will help us to understand human behaviour and how mental health changes over time. Collecting these data in well known groups of people will also give scientists the information they need to improve the quality of all research using social media. We are demonstrating collection, anonymisation and analysis of social media data from consenting participants in the Avon Longitudinal Study of Parents and Children. Initially we are studying Twitter use, and gathering data through the platforms API. Our software gathers social media posts and interactions from participants every few days, with datasets being stored under security ISO 27001 certification. Derived, depersonalised datasets can be made available to approved researchers, and we aim to provide a means to evaluate sentiment analysis methods against ground truth data.

  19. s

    Social Media Addiction Statistics Amongst Young Adults

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Addiction Statistics Amongst Young Adults [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    90% of people aged 18-29 use social media in some form. 15% of people aged 23-38 admit that they are addicted to social media.

  20. f

    Data from: Norwegian children’s perceptions of effectiveness of social media...

    • tandf.figshare.com
    docx
    Updated Jun 1, 2023
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    Tijana Milosevic; Marko Vladisavljevic (2023). Norwegian children’s perceptions of effectiveness of social media companies’ cyberbullying policies: an exploratory study [Dataset]. http://doi.org/10.6084/m9.figshare.11294300.v1
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Tijana Milosevic; Marko Vladisavljevic
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    There is a paucity of research that examines the effectiveness of social media companies’ anti-bullying tools from the children’s perspective. This article relies on two datasets from Norway: A small-scale exploratory survey and focus groups with children at one school in Norway; and the EU Kids Online survey with a nationally representative sample of Norwegian Internet-using children, to examine whether children and young people aged 9–19 are aware of and whether they use social media companies’ mechanisms against cyberbullying (e.g., various types of reporting, blocking, and companies’ safety and help centers). We also examine the extent to which children find these tools to be helpful and the underlying reasons for such perceptions of the effectiveness of social media companies’ mechanisms. The study further inquires into children’s perceptions of company responsibility for providing assistance in bullying incidents. While the majority of children in both samples know how to use basic tools such as reporting, the levels of awareness of various companies’ advanced tools as well as the use of these, are relatively low. Children also have mixed perceptions as to whether companies are able to assist. Results are discussed from the framework of children’s rights, offering policy recommendations.

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Stacy Jo Dixon, Instagram: distribution of global audiences 2024, by age and gender [Dataset]. https://www.statista.com/topics/1164/social-networks/
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Instagram: distribution of global audiences 2024, by age and gender

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Dataset provided by
Statistahttp://statista.com/
Authors
Stacy Jo Dixon
Description

As of April 2024, around 16.5 percent of global active Instagram users were men between the ages of 18 and 24 years. More than half of the global Instagram population worldwide was aged 34 years or younger.

              Teens and social media

              As one of the biggest social networks worldwide, Instagram is especially popular with teenagers. As of fall 2020, the photo-sharing app ranked third in terms of preferred social network among teenagers in the United States, second to Snapchat and TikTok. Instagram was one of the most influential advertising channels among female Gen Z users when making purchasing decisions. Teens report feeling more confident, popular, and better about themselves when using social media, and less lonely, depressed and anxious.
              Social media can have negative effects on teens, which is also much more pronounced on those with low emotional well-being. It was found that 35 percent of teenagers with low social-emotional well-being reported to have experienced cyber bullying when using social media, while in comparison only five percent of teenagers with high social-emotional well-being stated the same. As such, social media can have a big impact on already fragile states of mind.
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